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Knackly VS OpenCV

Compare Knackly VS OpenCV and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Knackly logo Knackly

Generate contracts, emails, or other documents of any complexity by automating your knack for doing...

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • Knackly Landing page
    Landing page //
    2023-08-23

Automate Any Document With One Simple Tool

STREAMLINE CLIENT INTAKE CONNECT TO YOUR OFFICE SOFTWARE CREATE AN AUTOMATED DOCUMENT SYSTEM SAVE 80% OF YOUR TIME BUILDING DOCUMENTS

  • OpenCV Landing page
    Landing page //
    2023-07-29

Knackly

Website
knackly.io
Pricing URL
Official Knackly Pricing
$ Details
paid Free Trial $75.0 / Monthly
Platforms
Browser Web Android iOS REST API Safari Chrome OS Windows Mac OSX Cross Platform
Release Date
2019 August
Edit details

OpenCV

Website
opencv.org
Pricing URL
-
$ Details
Platforms
-
Release Date
-
Edit details

Knackly videos

+ Add

Learn how Knackly's document automation software can save you 80% of your time drafting documents

More videos:

  • Demo - Knackly Client Intakes - Start the intake for your clients and have the complete intake

OpenCV videos

+ Add

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to Knackly and OpenCV)

Knackly

OpenCV

Document Automation
100 100%
Document Automation
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Legal
100 100%
Legal
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Knackly and OpenCV

Knackly Reviews

We have no reviews of Knackly yet.
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OpenCV Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
Source: www.labellerr.com
10 Python Libraries for Computer Vision
OpenCV is the go-to library for computer vision tasks. It boasts a vast collection of algorithms and functions that facilitate tasks such as image and video processing, feature extraction, object detection, and more. Its simple interface, extensive documentation, and compatibility with various platforms make it a preferred choice for both beginners and experts in the field.
Source: clouddevs.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
OpenCV is an open-source computer vision and machine learning software library that was first released in 2000. It was initially developed by Intel, and now it is maintained by the OpenCV Foundation. OpenCV provides a set of tools and software development kits (SDKs) that help developers create computer vision applications. It is written in C++, but it supports several...
Source: www.uubyte.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
These are some of the most basic operations that can be performed with the OpenCV on an image. Apart from this, OpenCV can perform operations such as Image Segmentation, Face Detection, Object Detection, 3-D reconstruction, feature extraction as well.
Source: neptune.ai
5 Ultimate Python Libraries for Image Processing
Pillow is an image processing library for Python derived from the PIL or the Python Imaging Library. Although it is not as powerful and fast as openCV it can be used for simple image manipulation works like cropping, resizing, rotating and greyscaling the image. Another benefit is that it can be used without NumPy and Matplotlib.
Source: towardsdatascience.com

Social recommendations and mentions

Based on our record, OpenCV seems to be a lot more popular than Knackly. While we know about 52 links to OpenCV, we've tracked only 1 mention of Knackly. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Knackly mentions (1)

  • Integrated CRM/Client and Document Management/Billing Software
    If you just want really robust document assembly, go with Knackly . Source: about 2 years ago

OpenCV mentions (52)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 16 days ago
  • FridgeBot — GPT-4o shopping list automation
    Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / about 1 month ago
  • Exploring Open-Source Alternatives to Landing AI for Robust MLOps
    Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 7 months ago
  • Looking for a Windows auto-clicker with conditions
    You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/). Source: 7 months ago
  • Looking to recreate a cool AI assistant project with free tools
    - [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 11 months ago
View more

What are some alternatives?

When comparing Knackly and OpenCV, you can also consider the following products

HotDocs - Template-driven, automated document & form assembly software

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Woodpecker - Legal document automation for solo & small firms. Simple to use, works in Word, connects to everything.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

docassemble - docassemble is a free, open-source expert system for guided interviews and document assembly.

NumPy - NumPy is the fundamental package for scientific computing with Python

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